# Statistics, Bachelor of Science

*Statistics is the discipline that educates a human being about Data. Data arise in all academic disciplines as well as in all * *real life* * situations. Experts in education, health profession, business and industry need the help of statistics for better understanding of their own subjects. Using a statistical software package, any layman can generate tables and graphs. But statistical software does not provide the intellectual capability to decide how a sample * *has to* * be collected, or how a sample can be made representative. This can be achieved through expertise in statistics. A BS Degree in statistics can provide a person with all * *these knowledge* * and understanding and also more importantly a lucrative career due to the growing needs of dealing with Big Data in astronomical, medical and various biological fields.*

## Core Curriculum - 42 Hours

The Core Curriculum serves as a broad foundation for the undergraduate degree. All candidates for a bachelor’s degree must achieve core student learning outcomes, including communication, critical thinking, empirical and quantitative skills, teamwork, personal responsibility and social responsibility, by completing courses within each category or component area of the Core Curriculum as outlined below.

The University has approved specific courses that satisfy Core Curriculum Requirements. Approved courses can be found on the Core Curriculum Page. Students seeking the most efficient way to complete the core curriculum and major or minor requirements are advised to take approved courses that can fulfill both requirements. Although core curriculum courses can also be used to fulfill major or minor requirements, earned credits hours are only applied once. The courses listed below fulfill core curriculum and major requirements. Students who have completed a core curriculum category with courses other than those listed below will still be required to take the listed course(s) to meet major requirements.

### 020 Mathematics – 3 hours

Choose from:MATH 1342 | Elementary Statistical Methods | 3 |

MATH 1343 | Introduction to Biostatistics | 3 |

### 030 Life and Physical Sciences – 6 hours

#### Choose one pair from:

PHYS 2425 | Physics for Scientists and Engineers I | 4 |

PHYS 2426 | Physics for Scientists and Engineers II | 4 |

Or | ||

BIOL 1406 | General Biology I | 4 |

BIOL 1407 | General Biology II | 4 |

### 080 Social and Behavioral Sciences – 3 hours

Choose from:ECON 1301 | Introduction to Economics | 3 |

ECON 2301 | Principles of Macroeconomics | 3 |

### 090 Integrative and Experiential Learning – 6 hours

#### Required

CSCI 1380 | Computer Science I | 3 |

#### Choose one pair from

PHYS 2425 | Physics for Scientists and Engineers I | 4 |

PHYS 2426 | Physics for Scientists and Engineers II | 4 |

Or | ||

BIOL 1406 | General Biology I | 4 |

BIOL 1407 | General Biology II | 4 |

*One credit hour from Life and Physical Science course applies for a total of two credits.*

## Major Requirements – 60 Hours

### Required Courses - 39 hours

MATH 2413 | Calculus I | 4 |

MATH 2414 | Calculus II | 4 |

MATH 2415 | Calculus III | 4 |

MATH 2318 | Linear Algebra | 3 |

STAT 2336 | Statistical Computing and Data Management | 3 |

STAT 3301 | Applied Statistics | 3 |

STAT 3335 | Applied Regression Analysis | 3 |

STAT 3336 | Sampling | 3 |

STAT 3337 | Probability and Statistics | 3 |

STAT 3338 | Mathematical Statistics | 3 |

STAT 4332 | Experimental Design and Analysis | 3 |

STAT 4390 | Statistics Project | 3 |

### Prescribed Electives - 21 hours

#### Advanced Math Electives - 9 hours

MATH 3341 | Differential Equations | 3 |

MATH 3345 | Linear Optimization | 3 |

MATH 3350 | Introduction to Mathematical Proof | 3 |

MATH 3361 | Applied Discrete Mathematics | 3 |

MATH 3372 | Real Analysis I | 3 |

MATH 3382 | Actuarial Probability Models | 3 |

MATH 3383 | Actuarial Statistical Estimates | 3 |

MATH 3385 | Theory of Interest | 3 |

MATH 3386 | Actuarial Financial Mathematics | 3 |

MATH 3399 | Special Topics in Mathematics | 3 |

MATH 4342 | Complex Variables | 3 |

#### Advanced Statistic Electives-12 hours

STAT 3351 | Multivariate Analysis | 3 |

STAT 3352 | Introduction to Linear Models | 3 |

STAT 4341 | Introduction to Stochastic Processes | 3 |

STAT 4342 | Time Series Analysis | 3 |

STAT 4345 | Introduction to Simulation | 3 |

STAT 4346 | Introduction to Bayesian Inference | 3 |

STAT 4347 | Nonparametric Statistics | 3 |

STAT 4351 | Categorical Data Analysis | 3 |

STAT 4352 | Survival Analysis | 3 |

STAT 4392 | Statistical Consulting | 3 |

STAT 4399 | Special Topics in Statistics | 3 |

Note: Courses like Introduction to Bioinformatics, Environmental and Spatial Statistics, Statistical Data Mining and Machine Learning, Big Data Analytics, Structural Bioinformatics could be some recommended courses for Special Topics in Statistics.

## Free Electives – 18 Hours

Free electives credit hours required may vary to achieve the institutional minimum of 120 hours for a degree.Total Credit Hours: 42

Total Credit Hours: 120

Major Graduation Requirements

Specific graduation requirements required for this program beyond university bachelor’s degree requirements.

Major requirements must be completed with a minimum grade of ‘C’ and a minimum GPA of 2.5.